Food Delivery Service Application During Pandemic Covid-19

Roslan, Nur Mira Alisa; Nawi, Nur Syazwani Mohd

doi:10.32890/jtom2022.17.1.7

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Nevertheless, nearly all the studies in this field that were referred used experiments to investigate the efficacy and efficiency of reading techniques in conventional requirements review, which at least has these two characteristics: 1) paper-based review of the requirements artefact; and 2) physical requirements review setting, whereby the review was carried out in a face-to-face session. During the Covid outbreak, people moved to online platforms to meet the demands of both individuals and organizations for products and services [17]. When a pandemic situation arises such as the Covid-19 pandemic, it is essential to be able to perform requirements review in an online platform with the ability of having distributed reviewers in any location, whenever and wherever.…”

Section: Methodsmentioning

confidence: 99%

An Experimental Study on Checklist-Based and Perspective-Based Requirements Reading Techniques Using E-Review Tool

Musleh

Nordin

Emran

2022

ARASET

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Software Requirements Review (SRR) is a formal review process in which several reviewers read all or parts of the Software Requirements Specification (SRS) to look for defects in the requirements. During requirements review sessions, reviewers may employ various reading techniques to ensure that the requirements have been completely and clearly specified. To review an SRS document, the review leader must organise a review session, the reviewers must physically meet and provide their review feedback during the session. In these situations, the review leader must schedule the review session based on the reviewers' availability, which can be laborious and time-consuming to arrange. Additionally, the review leader needs to manually consolidate all the outcomes of the review session, which could also require a considerable amount of effort and time. However, there has been an insufficient research to identify the effectiveness of reading techniques for requirement reviews by employing a dedicated tool support for requirements review. Using a web-based application, called e-Review, the aim of this study is to experiment the effectiveness of Checklist-based Reading (CBR) and Perspective-based Reading (PBR) techniques during requirements review session.

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Section: Methodsmentioning

confidence: 99%

An Experimental Study on Checklist-Based and Perspective-Based Requirements Reading Techniques Using E-Review Tool

Musleh

Nordin

Emran

2022

ARASET

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“…In Malaysia, the OFD business is progressively growing in popularity. Before the COVID-19 outbreak, technological businesses such as GrabFood, Foodpanda and ShopeeFood helped to make OFD in Malaysia a growing trend in metropolitan areas [5]. The trend has increased using online food ordering apps, particularly considering the new COVID-19 pandemic standard of procedure.…”

Section: Introductionmentioning

confidence: 99%

Aspect-Based Classification and Visualization of Twitter Sentiment Analysis Towards Online Food Delivery Services in Malaysia

Khyrina Airin Fariza Abu Samah,

Nur Shahirah Jailani,

Raseeda Hamzah

et al. 2024

ARASET

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Twitter has become a popular platform for the citizens of Malaysia. Twitter’s ease of expressing opinions could be used to evaluate and review Malaysian Online Food Delivery (OFD) providers. Due to competition from other OFDs in Malaysia, companies need to know customer feedback. OFD reviews are unstructured and massive, making comparisons difficult. Next, some websites evaluate OFD yet only consider pricing, delivery time, and customer experience. Customers cannot visualize the comparison based on users’ preferences, bilingual reviews, and less time-consuming to visualize OFD using the website. Thus, this study aims to design a web application system that uses Naïve Bayes to categorize Twitter sentiment analysis (SA) on Malaysia’s best OFD. It is based on customer satisfaction, visualizing the results, developing the system, and evaluating its accuracy, functioning and usability. Users can read about specific OFD by viewing Twitter SA visualization or comparing them directly. Five aspect-based SA types were presented: affordable price, promotion and discount, review rating, delivery time and condition of food delivered. Functionality testing demonstrated the accomplishment of all objectives. The training and testing data could predict OFD’s Twitter sentiment with 71.67% and 76.29% accuracy for English and Bahasa Melayu, respectively. The system’s usability produced a 94.64% average score using System Usability Scale and was considered “excellent”. Thus, it can be concluded that this study can solve the mentioned issues of OFD and ease the aspect-based comparison.

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Consumer self-protection behavior of online meal safety during the COVID-19 pandemic: the impact of risk perception and effect of satisfaction with management safety performance

Liu,

Cao,

Florkowski

2024

BFJ

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PurposeThis study aims to assess the effects of risk perception and management subject satisfaction on consumers' online meal food safety self-protection behavior during the COVID-19 pandemic.Design/methodology/approachThis study uses 742 questionnaires collected via a two-stage online survey conducted during the COVID-19 pandemic, between December 2021 and January 2022. The entropy method, descriptive statistics, ordered logit model, stepwise regression models, interaction terms and decentralization method were used in the quantitative analysis. Respondents’ written responses to self-protection behavior were categorized into five groups.FindingsLess than half of consumers were aware that online food products carry the risk of SARS-COV-2 (44.48%). Between 30 and 40% of consumers took insufficient or no self-protection measures. Risk perception significantly and positively affected self-protection behavior during the COVID-19 pandemic. Consumers' management subject satisfaction has a positive moderating effect on risk perception, with the moderating effect of the satisfaction of online retailers being significant at the 5% level. Risk perception significantly and positively influences consumer self-protection behavior in provinces not affected by the pandemic.Originality/valueThe findings stress the benefits of synergistic interventions by consumers and management subject to food safety measures and the inclusion of tailored interventions during events threatening public health to effectively address food safety. The study offers valuable insights contributing to the improvement of public health outcomes, customer trust and service quality within the online food delivery industry.

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Food Delivery Service Application During Pandemic Covid-19

Cited by 4 publications

References 10 publications

An Experimental Study on Checklist-Based and Perspective-Based Requirements Reading Techniques Using E-Review Tool

An Experimental Study on Checklist-Based and Perspective-Based Requirements Reading Techniques Using E-Review Tool

Aspect-Based Classification and Visualization of Twitter Sentiment Analysis Towards Online Food Delivery Services in Malaysia

Consumer self-protection behavior of online meal safety during the COVID-19 pandemic: the impact of risk perception and effect of satisfaction with management safety performance

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